GEO, The Science of Being Found by AI

GEO — Generative Engine Optimization — is one of the fastest-growing terms in digital marketing, and one of the least carefully checked. This book goes back to the actual source material.

Chapter 2 covers where GEO actually comes from: a peer-reviewed academic paper, formally titled 'GEO: Generative Engine Optimization,' submitted to arXiv on November 16, 2023, and presented at the ACM SIGKDD conference. That paper is the origin of the '40 percent visibility increase' statistic quoted in almost every GEO pitch deck — and Chapter 3 explains exactly which technique produced it, under what test conditions, and why that number shouldn't be assumed to transfer directly onto live systems like Google's AI Overviews without significant qualification.

Chapter 4 covers the single most important context that most GEO advice omits: the original research used a simulated environment, not a real production AI system. Multiple independent technical reviews are explicit about this limitation. Chapter 5 surveys 45 follow-on studies and what they actually establish — the general direction of the findings does hold up, but the specific numbers are engine-dependent and less reliable than most commercial summaries admit.

Chapter 6 covers Pinterest's GEO results — a real, confirmed production deployment with documented outcomes. Chapter 7 covers Viral Nation, the agency that has publicly committed to GEO as a core service offering, and what their actual strategy involves. Chapter 8 explains the three things you can actually measure — mentions, citations, and recommendations — and why 'AI search impressions' is not yet a standardized metric.

Eleven chapters. Every claim verified against its primary academic source or company's own published research. Freshness date: August 10, 2026. By Pop Buchanan.